private void aggregateDatapoints(TimeSeries ts) {
ArrayList<Datapoint> pre;
ArrayList<Datapoint> range;
ArrayList<Datapoint> post;
pre = aggregateDatapoints(ts.getVisiblePre(), ts.getDbRow().getType());
range = aggregateDatapoints(ts.getVisible(), ts.getDbRow().getType());
post = aggregateDatapoints(ts.getVisiblePost(), ts.getDbRow().getType());
ts.setDatapoints(pre, range, post, true);
return;
}
private void generateSynthetic(TimeSeries synth) {
Formula formula = mFormulaCache.getFormula(synth.getDbRow().getId());
long ms;
long firstVisibleMs = Long.MAX_VALUE;
long lastVisibleMs = Long.MIN_VALUE;
for (int j = 0; j < synth.getDependents().size(); j++) {
TimeSeries ts = synth.getDependents().get(j);
List<Datapoint> range = ts.getVisible();
if (range != null) {
ms = range.get(0).mMillis;
if (ms < firstVisibleMs) firstVisibleMs = ms;
ms = range.get(range.size() - 1).mMillis;
if (ms > lastVisibleMs) lastVisibleMs = ms;
}
}
ArrayList<Datapoint> calculated = formula.apply(synth.getDependents());
ArrayList<Datapoint> pre = new ArrayList<Datapoint>();
ArrayList<Datapoint> visible = new ArrayList<Datapoint>();
ArrayList<Datapoint> post = new ArrayList<Datapoint>();
for (int j = 0; j < calculated.size(); j++) {
Datapoint d = calculated.get(j);
d.mCatId = synth.getDbRow().getId();
d.mSynthetic = true;
if (d.mMillis < firstVisibleMs) pre.add(d);
else if (d.mMillis <= lastVisibleMs) visible.add(d);
else post.add(d);
}
pre = aggregateDatapoints(pre, synth.getDbRow().getType());
visible = aggregateDatapoints(visible, synth.getDbRow().getType());
post = aggregateDatapoints(post, synth.getDbRow().getType());
synth.setDatapoints(pre, visible, post, true);
}
